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Updated: Aug 9, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Simultaneous use of weighted logrank and standardized Kaplan-Meier statistics
Peiling Yang1, Thomas R Fleming
1Food and Drug Administration, Silver Spring, Maryland, USA.
Abstract:
Rank-based test procedures in censored survival data differ considerably in their sensitivity to various alternatives to the hypothesis of equality of underlying distributions. Procedures based on the simultaneous use of multiple statistics provide an appealing approach to obtaining more global sensitivity while maintaining the sensitivity to alternatives of interest. In this article, the joint distribution of weighted logrank statistics (to assess overall differences in time-to-event distributions) and a standardized difference in Kaplan-Meier estimates (to assess differences at a specific prespecified time post randomization) is obtained and this result is used to formulate statistical test procedures based on the simultaneous use of these two types of statistics. Simulations are used to assess small sample properties of this approach and its usefulness is illustrated in important recent oncology clinical trials.
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